[Remote] Data Engineer/Architect

Note: The job is a remote job and is open to candidates in USA. Leidos is hiring a Data Engineer/Architect to design and implement a data foundation supporting generative AI applications, including retrieval-augmented generation, and business analytics. The role combines hands-on development and architectural work, including defining tools, schemas, and ontologies and documenting designs for engineering teams and management.

Responsibilities

• Design and implementation of big data systems, ETL pipelines and Data Lakes / Lakehouse / Meshes
• Design and implementation of schema and ontologies
• Design and implementation of data foundation to support generative AI applications, including retrieval-augmented generation (RAG), and business analytics
• Design and implementation of row/cell level data access control
• Hands-on software development using Python and/or JavaScript to support data integration and application functionality
• Documentation of data definitions and designs

Skills

• Bachelor's degree with 8+ or 12+ years of experience in a Science, Engineering, or Technology field or a Master's degree with 6+ or 10+ years of experience in a Science, Engineering, or Technology field. Additional experience may be considered in lieu of a degree
• US citizenship; Ability to obtain a Top Secret security clearance in DISS
• 5+ years of experience with design and development of systems to analyze structured and unstructured large data sets from disparate sources
• 5+ years of experience with principals associated with AI applications, including retrieval-augmented generation (RAG)
• Ability to develop tools, algorithms and queries to improve business performance
• Ability to develop new technical solutions, including hands-on Python or JavaScript development, to achieve project goals
• Ability to develop intelligent systems that analyze data, learn from patterns, predict outcomes, and make informed decisions autonomously
• Strong verbal and written communication skills and ability to communicate data engineering and architectural concepts to non-technical audience
• Experience working directly with product owners
• Experience integrating and/or operating: Dagster, PostgresSQL, Alembic, pgvector
• Experience with digital Engineering (SysML)
• Experience with generative AI applications, including RAG, embeddings, and vector search
• Experience with operational support to data foundation and devOps
• Familiar with Medallion style architecture
• Current Secret clearance in DISS

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement
• Remote work arrangement

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